Situation
A project management team struggled with inconsistent asset location data across multiple systems, creating rework, reporting delays, and inefficiencies during project setup.

Approach
A data-driven solution was developed using AI, data science, and GIS tools to automatically map coordinates to asset identifiers. Automated reports summarized new project locations, highlighted quality indicators, and validated data accuracy, replacing hours of manual effort with instant results.

Outcome
The automated framework reduced data reconciliation time, improved accuracy, and restored confidence in reporting. Teams could now focus on analysis and value-added work instead of repetitive lookups.

Key Lesson
Targeted use of AI and automation transforms recurring data challenges into consistent, insight-driven processes.